Scale-invariant representation of light field images for object recognition and tracking
Alireza Ghasemi, Martin Vetterli · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
We propose a scale-invariant feature descriptor for representation of light-field images. The proposed descriptor can significantly improve tasks such as object recognition and tracking on images taken with recently popularized light field cameras. We test our proposed representation using various light field images of different types, both synthetic and real. Our experiments showvery promising results in terms of retaining invariance under various scaling transformations.